[HTML][HTML] Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …
applications, but the outcomes of many AI models are challenging to comprehend and trust …
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks
H Behzadi-Khormouji, J Oramas - arXiv preprint arXiv:2305.10121, 2023 - arxiv.org
With the continue development of Convolutional Neural Networks (CNNs), there is a
growing concern regarding representations that they encode internally. Analyzing these …
growing concern regarding representations that they encode internally. Analyzing these …
Principles of Machine Learning
E Seeram, V Kanade - … Intelligence in Medical Imaging Technology: An …, 2024 - Springer
This chapter presents a comprehensive overview of machine learning, covering supervised
learning techniques such as linear regression and decision trees, with applications in …
learning techniques such as linear regression and decision trees, with applications in …
Ερμηνεύσιμα μοντέλα βαθιάς μάθησης για την αναγνώριση εικόνας: συγκριτική μελέτη τεχνικών επεξηγήσιμης τεχνητής νοημοσύνης
Η Ευθυμίου - 2024 - polynoe.lib.uniwa.gr
Η παρούσα διπλωματική εργασία ασχολείται με την εξερεύνηση τεχνικών επεξηγήσιμης
τεχνητής νοημοσύνης για μοντέλα βαθιάς μάθησης που χρησιμοποιούνται στην αναγνώριση …
τεχνητής νοημοσύνης για μοντέλα βαθιάς μάθησης που χρησιμοποιούνται στην αναγνώριση …